Triple

T5320798
Position Surface form Disambiguated ID Type / Status
Subject Prima Donna E121666 entity
Predicate originalSettingPlace P20834 FINISHED
Object Paris E568 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paris | Statement: [Prima Donna, originalSettingPlace, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Prima Donna, originalSettingPlace, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • D. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • E. Paris Bar
    The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalSettingPlace
Context triple: [Prima Donna, originalSettingPlace, Paris]
  • A. originalSettlement
    Indicates that one entity is the initial or first-established settlement location associated with another entity.
  • B. placeOfSetting chosen
    Indicates the location or environment where an event, scene, or situation takes place.
  • C. countryOfSetting
    Indicates the country in which the setting or context of something (such as a story, event, or work) takes place.
  • D. primarySetting
    Indicates that one entity serves as the main or central location, context, or environment in which the other entity’s events or activities primarily take place.
  • E. primarySettingOf
    Indicates that a location or context serves as the main or principal setting in which an entity (such as a story, event, or activity) takes place.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188394ec81909a03afe92750e9c1 completed March 21, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69bd84561c7081909e5937c7816e492c completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 1:59 p.m.